JP2022032052A - System, program, and method for outputting information on care of skin state, physical state, or mental state - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information output system that can propose a plan on the basis of individual situations of users.

SOLUTION: An information output system includes: a user data recognition unit; a specified state determination unit; and an output control unit. The user data recognition unit recognizes specified state data showing a specified state of a user Ua and user action data showing an action of the user Ua. The specified state determination unit determines whether the specified state of the user Ua in a specified period has becomes better or worse on the basis of the specified state data. The output control unit outputs, to an output unit, information in the user action data which recommends stop or interruption of the action of the user if the specified state of the user Ua is determined to have become worse.

SELECTED DRAWING: Figure 19

COPYRIGHT: (C)2022,JPO&INPIT

Description

The present invention relates to an information output system, an information output program and an information output method relating to care of a skin condition, a physical condition or a mental condition.

Conventionally, various tools for skin condition, physical condition or mental condition care are known.

For example, in Patent Document 1, as a counseling tool used by a cosmetics salesperson or the like for a user, a skin condition explanation unit for explaining the skin condition for a typical pattern of the skin condition and a skin condition thereof are described. A counseling tool with an explanatory display of skin care methods required for the skin care method is described.

In the skin condition explanation section, the subheading "a condition that tends to lack water" as a typical pattern of the skin condition and the "barrier function that protects the skin from external stimuli" about the skin condition are also likely to deteriorate. ……… I can think of it. ”

The explanation display unit of the skin care method includes the headings "Slightly insufficient person W moisturizing" and "Insufficient person W moisturizing + lotion mask cream" as the skin care method in the skin condition. Here, "W moisturizing" and "lotion mask / cream" indicate the type of skin care method or the product used for skin care, respectively.

For example, if the cosmetics salesperson determines that the customer's skin condition is slightly lacking in water, the customer's skin is recommended to perform "W moisturizing" displayed on the explanation display of the skin care method. By matching the condition with the counseling tool, it is possible to immediately present to the user measures according to the skin pattern.

Japanese Patent No. 4299080

For example, even if a plurality of users take the same measure, the appropriate measure may change depending on the individual circumstances of the user, such as the change tendency of the skin condition or the like may change according to the constitution of the user.

However, the technique of Patent Document 1 is merely a counseling tool for giving uniform advice according to the skin condition of the user, and proposes measures in consideration of the individual circumstances of each user such as the constitution of each user. It wasn't. Therefore, depending on the individual circumstances of each user, there is a possibility that ineffective measures will continue to be proposed.

Therefore, an object of the present invention is to provide an information output system, an information output program, and an information output method regarding care of skin condition, physical condition, or mental condition, which can propose measures in consideration of individual circumstances of the user. ..

The information output system of the present invention is
An output section that outputs information and
A user data recognition unit that recognizes designated state data indicating at least one of the user's skin state, physical state, or mental state, and user behavior data indicating the user's behavior.
Based on the designated state data, a designated state determination unit that determines whether the user's designated state has improved or deteriorated during the designated period, and a designated state determination unit.
When the designated state determination unit determines that the user's designated state has deteriorated, the output control unit outputs information included in the user behavior data that recommends stopping or interrupting the user's behavior to the output unit. It is characterized by having.

According to the information output system having the configuration, the user data recognition unit recognizes the designated state data indicating the user's designated state and the user behavior data indicating the user's behavior.

Then, the designated state determination unit determines whether the user's designated state has improved or deteriorated in the designated period based on the designated state data.

Further, when the designated state determination unit determines that the user's designated state has deteriorated, the output control unit provides information included in the user behavior data to recommend the cancellation or interruption of the user's behavior. Is output to. As a result, it is possible to urge the user to stop or interrupt the action presumed to be the cause of the deterioration of the designated state.

This makes it possible to propose measures in consideration of the individual circumstances of each user.

In the information output system of the present invention
When the designated state determination unit determines that the user's designated state has improved, the output control unit outputs information included in the user behavior data that recommends maintenance of the user's behavior to the output unit. Is preferable.

According to the information output system having the configuration, when the designated state determination unit determines that the user's designated state has improved, the output control unit recommends that the user's behavior included in the user behavior data be maintained. The information to be output is output to the output unit. As a result, it is possible to encourage the user to maintain the behavior presumed to be the cause of the improvement of the designated state.

In the information output system of the present invention
When the designated state determination unit determines that the user's designated state has deteriorated, the output control unit may use the user's behavior data as information for recommending the cancellation or interruption of the user's behavior. It is preferable to output information that recommends an alternative action different from the action to the output unit.

According to the information output system having the configuration, when the output control unit determines that the user's designated state has deteriorated by the designated state determination unit, the user's behavior included in the user behavior data is canceled or interrupted. As the information that recommends the above, information that recommends an alternative action different from the action of the user is output to the output unit.

As a result, it may be easy for the user to avoid the behavior that causes the deterioration of the designated state by the alternative behavior.

In the information output system of the said configuration
When the designated state determination unit determines that the user's designated state has deteriorated, the output control unit is in the same category as the user's behavior category when the user's behavior is an activity of daily living. It is preferable that the information for recommending another action as the alternative action is output to the output unit.

Activities of daily living are basic behaviors that are indispensable for living a life, so it is difficult to substitute them for behaviors of different types. According to the information output system of the configuration configured in view of this point, when the designated state determination unit determines that the user's designated state has deteriorated, the user's behavior is an activity of daily living. Is output to the output unit by the output control unit to recommend different actions in the same category as the user's action category as the alternative action.

As a result, alternative behaviors of the same type can be appropriately proposed for basic behaviors that are indispensable for living a life.

In these information output systems
It is equipped with a preference recognition unit that recognizes the user's preferences regarding the behavior category.
When the designated state determination unit determines that the user's designated state has deteriorated, the output control unit is the same as the user's behavior category in which the user's behavior category matches the user's preference. It is preferable that the output unit is configured to output information that recommends actions of different categories as the alternative actions.

According to the information output system of the configuration configured in view of this point, the preference recognition unit recognizes the user's preference regarding the action category.

Then, when the output control unit determines that the user's designated state has deteriorated by the designated state determination unit, the user's behavior category matches the user's preference. Information that recommends actions of the same category as the alternative action is output to the output unit.

As a result, information that recommends different actions of the same category as alternative actions is output to the output unit so as to match the user's preference. As a result, it is possible to encourage the user to take an alternative action according to the user's preference.

In the information output system of the present invention, the designated state includes a skin state, and the designated period is preferably a period from the day when the user takes an action to the next day.

Skin conditions are more susceptible to behavior at a relatively early stage than other conditions. For example, the effects of behavior are likely to affect the skin condition on the day or the day after the behavior is taken.

According to the information output system of the configuration configured in view of such points, has the designated state including the skin condition improved in the period from the day when one action was taken to the next day by the designated state determination unit? It is determined whether it has deteriorated. As described above, since the skin condition is easily affected by the behavior at a relatively early stage, it is highly probable that the cause of the improvement or deterioration of the designated condition including the skin condition is the one behavior. Therefore, according to the information output system having the above configuration, it is possible to accurately identify the behavior that affects the skin condition.

In the information output system of the present invention
A target recognition unit that recognizes the target state for the user's specified state,
The designated state determination unit recognizes a plurality of actions of the user related to changes in the designated state of the user, and for each of the actions of the plurality of users, the target state of the user in the designated state of the user by the action is reached. An action recognition unit that recognizes the degree of approach of the user or the degree of separation of the user's designated state from the target state of the user.
The greater the degree of approach of the user's designated state to the target state of the user, the higher the degree of continuous or intermittent increase, and the greater the degree of separation of the user's designated state from the target state of the user, the more continuous. It is equipped with a priority recognition unit that recognizes the priority of each action so that it becomes low on target or intermittently.
It is preferable that the output control unit is configured to output to the output unit information that recommends stopping or interrupting the action whose priority is less than a predetermined threshold value.

According to the information output system having the configuration, the target recognition unit recognizes the target state with respect to the user's designated state.

Then, the action recognition unit recognizes a plurality of actions of the user related to the change in the designated state of the user by the designated state determination unit, and each of the actions of the plurality of users is designated by the user due to the influence of the action. The degree of approach of the state to the target state of the user or the degree of separation of the designated state of the user from the target state of the user is recognized.

The priority recognition unit continuously or intermittently increases the degree of approach of the user's designated state to the target state of the user, and separates the user's designated state from the target state of the user. The priority of each action is recognized so that the higher the degree of, the lower it is continuously or intermittently.

Then, the output control unit outputs to the output unit information that recommends stopping or interrupting the action whose priority is less than a predetermined threshold value. As a result, the behavior whose priority is less than a predetermined threshold value, that is, the behavior in which the degree of approach to the user's target state due to the influence is small or the degree of deviation from the user's target state is large is stopped. Or you can recommend suspension.

In the information output system of the present invention
The behavior is eating and drinking,
The output control unit is a first substance that is a main substance ingested in the first action of the user included in the user behavior data when the designated state determination unit determines that the designated state of the user has deteriorated. The output unit recognizes a substance, recognizes a second action in which the main substance ingested is a second substance different from the first substance, and recommends the second action as an alternative action to the first action. It is preferable that it is configured to output to.

According to the information output system having the configuration, when the designated state determination unit determines that the user's designated state has deteriorated, the output control unit takes in the first action included in the user action data. The first substance, which is the main substance, is recognized. This first substance may be the cause of the deterioration of the designated state.

Then, the output control unit recognizes the second action in which the main substance ingested is a second substance different from the first substance, and information that recommends the second action as an alternative action to the first action is provided. It is output to the output unit. This proposes behavior in which the major substance ingested is a second substance that is different from the first substance that may be the cause of the deterioration of the designated condition.

In the information output system of the present invention
The behavior is eating and drinking,
The output control unit is a main substance ingested in the third action, which is the action of the user, included in the user behavior data when the designated state determination unit determines that the designated state of the user has deteriorated. Recognizing a certain third substance, recognizing a fourth action in which the main substance ingested is the same as the third substance and the intake of the third substance is smaller than that of the third action, the fourth action It is preferable that the information recommended as an alternative action of the third action is output to the output unit.

Even if a substance that may cause deterioration of the designated condition is identified, the user wishes to continue ingesting the main substance, for example, because he / she likes the taste of the main substance to be ingested. I have something to do.

According to the information output system of the configuration configured in view of this point, when the output control unit determines that the designated state of the user has deteriorated by the designated state determination unit, it is included in the user behavior data. The third substance, which is the main substance ingested in the third action, which is the action of the user, is recognized.

Then, the output control unit recognizes the fourth action in which the main substance ingested is the same as the third substance and the intake amount of the third substance is smaller than that of the third action, and the fourth action is recognized. Information is output to the output unit to recommend the above as an alternative action of the third action.

As a result, even if the user wishes to ingest the first substance that may cause deterioration of the designated state, the main substance to be ingested is the same as the third substance, and the intake amount of the third substance is the first. A fourth action, less than the third action, is recommended for the user. Even if the third substance is the cause of the deterioration of the designated state, it is presumed that if the intake is small, the degree of deterioration will be alleviated.

As described above, according to the information output system having the above configuration, it is possible to recommend an alternative action that can alleviate the degree of deterioration of the designated state while meeting the user's wishes.

In the information output system of the present invention
The behavior is eating and drinking,
The output control unit is a food or drink to be ingested in the fifth action, which is the action of the user, included in the user behavior data when the designated state determination unit determines that the designated state of the user has deteriorated. It recognizes the type of the first food and drink and one or both of the manufacturer and the product name of the first food and drink, the type is the same as the type of the first food and drink, and one or one of the manufacturer and the product name. The output unit recognizes the sixth action of ingesting the second food or drink, which is one or both of the different manufacturers and product names, and recommends the sixth action as an alternative action to the fifth action. It is preferable that it is configured to output to.

According to the information output system having the configuration, the type of the first food and drink to be ingested in the fifth behavior, which is the behavior of the user included in the user behavior data, and the manufacturer of the first food and drink by the output control unit. And one or both of the product names are recognized. Then, the output control unit ingests the second food or drink whose type is the same as that of the first food or drink and which is one or both of the manufacturer and the product name different from one or both of the manufacturer and the product name. 6 Actions are recognized. Here, the first food and drink and the second food and drink, which differ in one or both of the manufacturer and the product name, are contained even if the types are the same, depending on the difference in the manufacturing method, material, etc. of the food and drink. One or both of the substances to be produced and their amounts may differ from each other. The same type of food and drink is recommended by recommending the behavior of taking a second food and drink in which one or both of the substances contained in the first food and drink and the substances contained therein are different from each other, which may cause deterioration of the designated state. However, it is possible to mitigate the deterioration of the designated state.

In the information output system of the present invention
The behavior is eating and drinking,
The output control unit is a main substance ingested in the seventh action, which is the user's behavior, included in the user behavior data when the designated state determination unit determines that the user's designated state has improved. It is configured to recognize a certain fourth substance, the main substance ingested recognizes the same eighth action as the fourth substance, and outputs information recommending the implementation of the eighth action to the output unit. Is preferable.

According to the information output system having the configuration, when the designated state determination unit determines that the user's designated state has been improved, the output control unit determines that the user's behavior is included in the user behavior data. 7 The fourth substance, which is the main substance ingested in behavior, is recognized. The output control unit recognizes the eighth action in which the main substance to be ingested ingests the same substance as the fourth substance, and outputs information recommending the implementation of the eighth action to the output unit. As a result, even if the user does not want to continue taking the same action, for example, wanting to eat a different thing every day, another action that is expected to improve the designated state is recommended.

In the information output system of the present invention
The behavior is eating and drinking,
When the designated state determination unit determines that the user's designated state has deteriorated in the first period, the output control unit is ingested in the ninth action, which is the user's action included in the user behavior data. Recognize the fifth substance, which is the main substance
When it is determined by the designated state determination unit that the designated state of the user has deteriorated in a second period different from the first period, it is ingested in the tenth action which is the action of the user included in the user behavior data. Recognizing the sixth substance, which is the main substance to be ingested
When the fifth substance and the sixth substance are the same substance, it is recommended to carry out the eleventh action in which the main substance to be ingested is the seventh substance different from the fifth substance and the sixth substance. It is preferable that the information to be output is output to the output unit.

According to the information output system having the configuration, when the designated state determination unit determines that the user's designated state has deteriorated in the first period, the output control unit includes the user included in the user behavior data. The fifth substance, which is the main substance ingested in the ninth action, which is the behavior of the above, is recognized.

Further, when the designated state determination unit determines that the user's designated state has deteriorated in a second period different from the first period, the output control unit determines that the user's behavior included in the user behavior data. The sixth substance, which is the main substance ingested in the tenth action, is recognized.

When the fifth substance and the sixth substance are the same substance by the output control unit, the main substance to be ingested is the third substance different from the first substance and the second substance. Information recommending the implementation of the third action is output to the output unit.

That is, if the user's designated state deteriorates in both the first period and the second period in which the fifth substance or the sixth substance (the same substance) is ingested, the fifth substance (or the sixth substance) is concerned. It is highly probable that the substance) is the cause of the deterioration of the user's designated state.

By recommending the implementation of the third action in which the substance having a high probability of causing the deterioration of the designated state of the user is not the main ingestion, the deterioration of the designated state can be reduced or eliminated.

An explanatory diagram of the usage pattern of the skin support server. Configuration diagram of skin support server and user terminal. An explanatory diagram of a series of skin support processes by the skin support server. The first flowchart of the process in the skin support server. The second flowchart of the process in the skin support server. The first flowchart of the process in a user terminal. The second flowchart of the process in a user terminal. Explanatory drawing of analysis processing of initial data of skin, mind, and body by subjective data and objective data. Explanatory diagram of quantification of body condition. An explanatory diagram for quantifying the state of mind. FIG. 11A is a diagram showing the relationship between each measure and the improvement tendency of the measure, FIG. 11B is a diagram showing the schedule of each process, and FIG. 11C is a diagram showing the relationship between the subjective state and the objective state of the desired skin and skin condition. The figure which shows. An explanatory diagram of the progress table based on daily monitoring during the period when the image is displayed. An explanatory diagram of the effect of a special case on the skin condition. An explanatory diagram of a display screen of the degree of improvement of the skin condition on the user terminal. It is explanatory drawing of the evaluation method of a measure, FIG. 15A shows the evaluation standard of a measure, and FIG. 15B shows the evaluation example of a measure. It is explanatory drawing of the evaluation method of living and a special case, FIG. 16A shows the evaluation criteria of living and a special case, and FIG. 16B shows the evaluation example of a living and a special case. An explanatory diagram of a method for determining the degree of goal achievement. Explanatory diagram of secondary data. An example of a flowchart of the substitution or maintenance judgment process. The figure which shows an example of the home screen displayed on the display. The figure which shows the table which associated the type of an action, the fluctuation amount of the average score, the load of an action, the category of an action, the type of food and drink, and the type of an action. An example of a flowchart of the recommended processing of alternative actions. Other examples of flowcharts for recommended processing of alternative actions. The figure which shows the table which associated the main substance and the type of food and drink. Other examples of flowcharts for recommended processing of alternative actions. The figure which shows the table which associated the type of food and drink, the main substance and the content. Other examples of flowcharts for recommended processing of alternative actions. The figure which shows the table which associated the type of food and drink, the manufacturer, the product name, and the amount of salt. An example of a flow chart of recommended processing for maintaining the same or similar behavior. Other examples of flowcharts for substitution or maintenance decision processing. Other examples of flowcharts for substitution or maintenance decision processing. A diagram showing a table in which the categories of actions, the degree of approach or the degree of separation, and the priority are associated with each other.

An example of the embodiment of the present invention will be described with reference to FIGS. 1 to 18.

[A. Usage of skin support server]
With reference to FIG. 1, the configuration of the skin support server 10 and its position with respect to the system constituting the present invention will be described. The skin support server 10 is composed of a computer system including a CPU, a memory, various interface circuits, and the like. The skin support server 10 is for improving or maintaining the skin condition of a plurality of users U (Ua, Ub, Uc are exemplified in FIG. 1) by executing an image display program held in a memory on the CPU. Realize the function to execute the process (image display process).

The skin support server 10 performs data communication with a plurality of user U communication terminals (user terminals) 30 (30a, 30b, 30c are exemplified in FIG. 1) via a communication network 1 such as the Internet. , Supports the improvement or maintenance of the skin condition of the user U. A system composed of a skin support server 10 and a user terminal 30 corresponds to an example of the "information output system" of the present invention.

The communication terminal 50 (exemplifying 50a and 50b in FIG. 1) of the person in charge T (exemplifying Ta and Tb in FIG. 1) is also connected to the communication network 1. The person in charge T transfers data including information such as an appropriate skin care method considering the skin characteristics, hobbies, tastes, lifestyle, etc. of the user U to the skin support server 10 and the user terminal 30 via the communication terminal 50. By transmitting, advice is given to the improvement of the skin condition of the user U. The communication terminal 50 of the person in charge T and the user terminal 30 of the user U do not necessarily have to be one-to-one, and the user depends on the entire system including the skin support server 10, the communication terminal 50 of the person in charge T, and the communication network 1. The advice for improving the skin condition of U may be provided to the user terminal 30 of the user U. For example, a method of providing advice to one or a plurality of user terminals 30 of the user U by a plurality of persons in charge T via the respective communication terminals 50 may be used.

Further, the skin support server 10 has a function of analyzing the unique data of each user transmitted from the user terminals 30 of the plurality of users U and generating secondary data that can be used for general purposes. It is also possible to provide a service of providing data to another system 60 via the communication network 1.

[B. Skin support server and user terminal configuration]
The configuration of the skin support server 10 and the user terminal 30 will be described with reference to FIG. The skin support server 10 functions as a skin condition recognition unit 11, a measure group selection unit 12, a measure information transmission unit 13, and a secondary data generation unit 19 by executing an information output program held in the memory on the CPU. .. The processing by these configurations will be described later. Further, the skin support server 10 includes a support DB (database) 20 that holds various data used for image display processing of the user U. This support DB 20 is expanded on RAM, for example, and can be rewritten by updating subjective and objective data described later.

Next, the user terminal 30 of the present embodiment includes a display 31, a touch panel 32, a camera 33, a microphone 34, a CPU 35, a memory 36, and the like. The display 31 corresponds to the "output unit" of the present invention. The touch panel 32 corresponds to the "input unit" of the present invention. Instead of or in addition to this, the camera 33 or the microphone 34 of the present invention can be obtained by recognizing the user's designation based on the image of the user U captured by the camera 33 or the voice of the user U input from the microphone 34. It may function as an "input unit".

Note that one device "recognizes" information means that one device receives the information from another device, and that one device receives information stored in a storage medium connected to the one device. Reading, one device acquiring information based on the signal output from the sensor connected to the one device, one device acquiring from the received information or information stored in a storage medium or sensor. Deriving the information by executing a predetermined arithmetic process (calculation process, search process, etc.) based on the information It means that all arithmetic processing for acquiring the information is executed, such as receiving from, one device reading the information from the internal storage device or the external storage device according to the received signal.

In the present embodiment, since the user terminal 30 is, for example, a smartphone, it is provided with a camera 33, a microphone 34, and the like. Alternatively, a professional imaging device may be used. The CPU 35 allows the user U to enjoy the support provided by the skin support server 10 via the skin support application 35a by executing the program of the image display application 35a (hereinafter referred to as the skin support application 35a) held in the memory 36. Make it possible. The CPU 35 that executes the skin support application 35a is the "user data recognition unit", "designated state determination unit", "output control unit", "preference recognition unit", "target recognition unit", "behavior recognition unit", and "priority recognition unit". Is equivalent to.

In addition, the user U separately has a keratin collecting tape 37 (exemplifying 37a, 37b, 37c in FIG. 1) for acquiring skin cells. The keratin collecting tape 37 may be provided to the user U by the person in charge T in advance, or the user U may purchase a commercially available keratin collecting tape 37.

In the following description, for convenience of explanation, the user who is the target of the support process for improving or maintaining the skin condition is referred to as user Ua, and the user different from "user Ua" is referred to as "other user Ub, Uc". ..

[C. A series of processes by the skin support server]
Next, a series of processes by the skin support server will be described with reference to FIG. The skin support server 10 includes "1. goal setting", "2. schedule determination", "3. monitoring", "4. schedule correction", and [5. The processing of each step of [Goal determination] and “6.2 Secondary data generation” is executed according to the flowcharts shown in FIGS. 4 and 5. Further, the user terminal 30 executes the processing according to the flowchart shown in FIGS. 6 and 7 according to the processing by the skin support server 10 in each process. Hereinafter, the processing of the CPU 35 of the skin support server 10 and the user terminal 30 in each step will be described with reference to the flowcharts shown in FIGS. 4 to 7.

In STEP 50 of FIG. 6, the user Ua downloads the program of the skin support application 35a to the user terminal 30 and activates the skin support application 35a. Then, the user Ua applies for registration to the skin support application 35a.

When the skin support server 10 receives the registration application from the user Ua in STEP 10 of FIG. 4, it recognizes that "the registration application from the user Ua has been accepted" and proceeds to STEP 11. Then, the image display process after STEP 11 is started.

[D. Goal setting process]
The process of "1. Goal setting" shown in FIG. 3 is executed by the skin condition recognition unit 11 and the measure group selection unit 12. In STEP 11 of FIG. 4, the measure group selection unit 12 prompts the user terminal 30 to input information for grasping the current skin, body, and mental states of the user Ua and the skin condition requested by the user Ua. Send the data.

In the user terminal 30 that has received the initial information request data, the skin support application 35a, in STEP 51 of FIG. 6, gives the user Ua the current skin, body, and mental states, and the skin condition requested by the user Ua. A screen prompting the input of is displayed on the display 31. On the other hand, the user terminal 30 transmits the initial user information data including the information input by the user Ua to the skin support server 10.

In STEP 11 of FIG. 4, the skin condition recognition unit 11 receives the initial user information data and recognizes the skin, mind, and body states of the user Ua from the initial user information data, and the skin condition requested by the user Ua. Based on, set the target score (goal) of the skin condition.

Here, the initial user information data includes subjective data and objective data regarding the skin condition, the physical condition, and the mental condition. Although detailed definitions will be described later, subjective data is items judged by the user's subjectivity, and objective data is data based on inspection results, image analysis, and factual information. The subjective data of the skin condition is data showing, for example, the degree of satisfaction of the user Ua with respect to the current skin condition in 10 stages. The objective data of the skin condition is the skin image data of the user Ua. In addition to the objective data of the skin condition included in the initial user information data, the objective data of the skin condition may include the analysis data of the stratum corneum cells of the user Ua collected by the keratin collection tape 37. The analysis data of the stratum corneum cells are specifically, for example, data on water retention capacity and sebum eligibility. In this case, the analysis of the stratum corneum cells is performed, for example, by the measuring device 45 connected to the user terminal 30, or the image data of the stratum corneum collection tape 37 is transmitted from the user terminal 30 to the skin support server 10 to perform skin. The image of the keratin collecting tape 37 may be analyzed on the support server 10 side to measure the water retention capacity, sebum eligibility, and the like.

The satisfaction level of the user Ua is acquired by inputting a questionnaire in the skin support application 35a. Further, the skin image data is image data acquired by the user Ua taking an image of the user Ua's face by an external camera connected to the camera 33 of the user terminal 30 or the connection terminal 40.

Further, the skin support application 35a displays the usage method of the keratin collecting tape 37 on the display 31 to the user Ua, and urges the user Ua to use the keratin collecting tape 37 and to mail it separately. The skin support application 35a may urge the user Ua to use the keratin collecting tape 37 and capture a skin image so that the captured image is transmitted to the skin support server 10.

As shown in FIG. 8, the skin condition recognition unit 11 sets the initial value of the skin condition to, for example, a subjective score of 3, a skin image score of 3, a water retention capacity score of 2, and a sebum eligibility score of 1. The total value is used as the skin condition score. The score may be expressed as a decimal number or a negative number instead of a positive integer.

Recognition of the water retention capacity score and the sebum eligibility score by analysis of the stratum corneum cells is called the first recognition method. The first recognition method is at least one of a method of measuring the water content of the user's skin with a stratum corneum moisture meter and a method of measuring the sebum content of the user's skin with a sebum meter. including. Further, in order to periodically recognize the user's skin by the first recognition method, the skin condition recognition unit 11 periodically sends a message urging the user terminal 30 to use the keratin collecting tape 37 or the like. To encourage the user to take action. At this time, "regular" does not have to be strictly equidistant in time, and may be equidistant as long as the skin condition is not affected. For example, when the first recognition method is implemented every three months, if the first recognition method is implemented on January 1, not only April 1 just three months later, but also March one week before that, for example. A message may be sent to the user terminal 30 around 24 days, or for example, a message may be sent to the user terminal 30 around April 8 one week later. In addition, when providing services over the long term, for example, when you want to investigate minor improvements, set the first recognition method every month, and every three months to investigate the effect of seasonal changes on the skin condition. The recognition timing can be changed, such as by setting the first recognition method.

Each of the recognition of the subjective score based on the subjective data of the skin condition by the input of the questionnaire and the recognition of the skin image score based on the skin image data of the user Ua is referred to as the second recognition method. As the second recognition method, the skin condition of the user Ua may be recognized by either the recognition of the subjective score based on the subjective data of the skin condition by the input of the questionnaire and the recognition of the skin image score based on the skin image data of the user Ua. , Different methods may be included. Moreover, the second recognition method is performed more frequently than the first recognition method. This is because the use and mailing of the keratin collecting tape 37 is troublesome, complicated, and expensive. Further, if the keratin collecting tape 37 is frequently used, the skin of the user Ua may be adversely affected.

For example, the first recognition method is carried out every three months, and the second recognition method is carried out every day. Further, when the timings of the first recognition method and the second recognition method overlap, it is preferable that the first recognition method is carried out at the same timing, because accurate data can be obtained. However, the present invention can be implemented and the effect can be obtained even if the second recognition method is not implemented when the first recognition method is implemented.

The subjective score may be any score recognized based on the subjective data.

The subjective data and the objective data of the physical condition are separated as shown in FIG. The detailed definition will be described later, but like the subjective data and the objective data of the skin, the subjective data is the item determined by the subjectivity of the user Ua, and the objective data is the data based on the inspection result, the image analysis, and the fact information. The subjective data of the physical condition is acquired by the user Ua inputting a questionnaire through the skin support application 35a. The objective data is image data of the tongue and lips of the user Ua captured by the user Ua using the camera 33 of the user terminal 30, and the user Ua measured by the measuring device 45 connected to the connection terminal 40 of the user terminal 30. It is the measurement data of blood pressure, arrhythmia, urinary component, blood component and the like, and the data such as the number of times of poor physical condition such as headache or stiff shoulder and the degree of fatigue determination acquired by inputting a questionnaire in the skin support application 35a. In preparation for future development of services other than skin care, information on the occurrence of various diseases may be included in the initial user information data.

The subjective data and the objective data of the mental state are separated as shown in FIG. The detailed definition will be described later, but like the subjective data and objective data of the skin, the subjective data is the item judged by the subjectivity of the user Ua, and the objective data is the data based on the inspection result, the image analysis, and the fact information. .. The subjective data is acquired by inputting a questionnaire in the skin support application 35a. The objective data is acquired by inputting a questionnaire (frequency of laughing in a day, etc.) in the skin support application 35a and measuring with a measuring device (estimating the psychological state from pulse monitoring, etc.). In preparation for the development of services other than skin care in the future, information on the occurrence of various mental illnesses may be included in the initial user information data.

The skin condition recognition unit 11 stores the subjective data and objective data of the recognized user Ua's skin, body, and mental state in the support DB 20.

The skin condition recognition unit 11 is as shown by the triangle on the right side of FIG. 8 based on the subjective data and the objective data of the user Ua's skin condition, body condition, and mental state recognized from the initial user information data in this way. The initial values of the three axes representing the skin condition as 1 to 9, the physical condition as 1 to 6, and the mental condition as 1 to 6 are set. Similar to the skin condition score, the physical condition or mental condition subjective score and objective score are calculated from the subjective data and objective data of the physical condition or mental condition, and the physical condition score and the mental condition score are calculated based on them. May be treated as.

Further, the measure group selection unit 12 acquires the “desired skin score”, “measure category, hope, frequency” and “current measure” included in the initial user information data. The "desired skin score", "measure category, hope, frequency" and "currently taken measures" are input by the user Ua by the skin support application 35a.

Here, in the "want to become skin score", "want to become skin" means improvement of dryness, stiffness, sensitive skin, acne, deflation, age spots, wrinkles, sagging, dullness, dark circles, etc. It is a target for improving skin condition selected from complexion improvement and firmness improvement. The "score" is the degree of satisfaction of the user Ua with respect to the skin condition of each target, and is a score selected by the user in 10 steps from 1 to 10 in the skin support application.

The support DB 20 stores the improvement tendency of the subjective state and the improvement tendency of the objective state of the skin condition associated with each improvement target. For example, as shown in FIG. 11C, "improvement of dryness" includes minimizing the difference between the subjective condition of skin condition "improvement of dryness" and the standard of objective condition of skin condition "water retention capacity and sebum eligibility". Is associated with.

For example, when the "desired skin" is "improvement of dryness" and the satisfaction score of the dryness of the current skin condition is 3, it is associated with "improvement of dryness" according to the selection of the user Ua. Satisfaction level 5 for the subjective state "improvement of dryness" of the skin condition of the user Ua is set as a subjective target score.

In addition, the measure group selection unit 12 sets an objective improvement target for the skin condition associated with "improvement of dryness". For example, the measure group selection unit 12 is lower than the water retention capacity of the skin condition of the user Ua based on the criterion "minimize the difference between the water retention capacity and the sebum eligibility" associated with "improvement of dryness". A sebum eligibility value of 2 is set as an objective target score.

In addition, in the "category of measures, hope, frequency", the category is "dietary habits, behavior at home, exercise, how to use cosmetics", etc., and the hope is "difficulty, time constraints, scenes of skin care", etc. As the frequency, "the number of times to receive advice per day" or the like is selected.

The "currently implemented measure" is a measure already taken by the user Ua, and is represented by the content, frequency, or degree of "immersing in a bathtub" or the like.

[E. Schedule determination process]
The process of "2. Schedule determination" shown in FIG. 3 is executed by the measure group selection unit 12 and the measure information transmission unit 13. The measure group selection unit 12 selects a measure group for achieving a goal (subjective target score and objective target score) in STEP 12 of FIG. This selection is made in consideration of the improvement tendency of the subjective state of the skin condition, the improvement tendency of the objective state of the skin condition, and the suitable surrounding environment associated with each of the above-mentioned improvement targets. The measure group selection unit 12 determines the temperature, humidity, etc. of the surrounding environment of the user Ua during the schedule period based on the position information detected by the area or GPS sensor registered in advance and the date and time acquired from the clock function of the terminal. Predict.

For example, in the measure group selection unit 12, the category hope is "behavior at home, eating habits, exercise", and the humidity is predicted to be 50% on average like the rainy season, which is a subjective goal. When the score is a satisfaction level of 5 or more for "dryness" and the objective target score is sebum eligibility 2 or more, the improvement tendency of the subjective state includes "improvement of dryness" and the improvement tendency of the objective state is "sebum eligibility". Select a measure that includes "improvement of sex" and is one of "behavior at home, eating habits, exercise" in the category, and the suitable surrounding environment does not contradict the humidity of 50%.

Here, the improvement tendency of the subjective state and the improvement tendency of the objective state may be determined in advance by an expert such as the person in charge T, or may be implemented by other users Ub and Uc stored in the support DB 20. It may be an improvement tendency of the subjective state and an improvement tendency of the objective state estimated based on the measures taken and the time-series change of the skin condition of other users Ub and Uc, or the measures taken and the skin condition of the user Ua. When the time-series change of is stored in the support DB 20, it may be an improvement tendency of the subjective state and an improvement tendency of the objective state estimated based on the information.

For example, in the support DB 20, the measures implemented by each of the other users Ub and Uc, and the time-series changes in the subjective data of the skin condition of each of the other users Ub and Uc before and after the measures are implemented, and other information. One or both of the time-series changes in the objective data of the skin condition for each of the users Ub and Uc are stored.

Further, for example, in the support DB 20, the measure "Take a bath" implemented by each of the other users Ub and Uc and the subjective state of the skin condition of each of the other users Ub and Uc before and after the measure is implemented. It is assumed that "satisfaction with the feeling of dryness" as a time-series change is memorized.

At this time, the measure group selection unit 12 determines the subjective data (dryness) of the skin condition on the day before the bath and the day when the bath is used, for example, regarding the measure "immerse in the bath" for each other user Ub and Uc. Satisfaction with) is calculated. Then, the measure group selection unit 12 takes an average value of the amount of change in the degree of satisfaction with respect to the feeling of dryness for each of the other users Ub and Uc. For example, when the average value of the change amount of the "satisfaction with the feeling of dryness" is equal to or more than the predetermined value, the measure group selection unit 12 "improves the feeling of dryness" for the improvement tendency of the subjective state of the measure "immerse in the bathtub". Recognize that. The improvement tendency of the objective state can be recognized in the same way as the improvement tendency of the subjective state.

The measure group selection unit 12 may narrow down the range of other users Ub and Uc to be processed, such as the same age group and the same skin condition, based on the age and skin condition of the user Ua.

Further, when the measure implemented in the support DB and the time-series change of the skin condition of the user Ua are stored in the measure group selection unit 12, the measure group selection unit 12 is estimated based on the information calculated in the same manner as above. You may recognize the improvement tendency of the subjective state and the improvement tendency of the objective state.

In the first schedule determination process of the user Ua, the measure group selection unit 12 recognizes the improvement tendency of the subjective state and the improvement tendency of the objective state from the subjective data and the objective data of the skin condition of other users Ub and Uc. However, in the second schedule determination step of the user Ua, the improvement tendency of the subjective state and the improvement tendency of the objective state may be recognized from the subjective data and the objective data of the skin condition of the user Ua.

The measure group selection unit 12 recognizes the improvement tendency of the subjective state and the improvement tendency of the objective state not only for the skin state but also for the mental state and the physical state, and the improvement tendency of the subjective state of the mental state and the physical state and the improvement tendency of the physical state. Measures may be selected in consideration of the tendency of improvement in the objective state.

The measure group selection unit 12 may exclude measures having the same content and frequency or the same degree as the “current measures” from the measure group. This is because it is not necessary to propose the measures that the user has already taken.

In the example of FIG. 11A, the measure group selection unit 12 selects a measure group that is a combination of a plurality of measures so as to include "take a bath", "vitamin C intake", "vegetable intake", and "walk 10,000 steps or more". ..

The measure information transmission unit 13 evaluates the priority of the measure according to the "category, hope, frequency of the measure" of the user Ua from the measure group, and determines the initial measure according to the priority. FIG. 12 shows an example of a schedule in which "take a bath", "vegetable intake", and "walk 10,000 steps or more" are selected as initial measures. The measure information transmission unit 13 transmits schedule data indicating the contents of the schedule determined in this way to the user terminal 30.

The measure information transmission unit 13 also creates a plan for implementing each process for a certain period based on the designation of the user Ua. In FIG. 11B, goals are set and schedules are determined at START, daily monitoring is performed, schedules are revised weekly, a progress graph is created one month later, goal judgments and new goals are determined in the third month. A plan for a series of events to configure is shown. In addition to or in place of the user Ua's designation, the measure information transmission unit 13 may use a predetermined plan for implementing each process for a certain period of time.

When the schedule data is received from the skin support server 10 in STEP 52 of FIG. 6 on the user terminal 30, the skin support application 35a has the schedule execution table as shown in FIG. 12 and the work contents as shown in FIG. 11B. The plan can be displayed to encourage the user Ua to implement each measure. In the execution table of the schedule of FIG. 12, the contents of each measure (“take a bath”, “vegetable intake”, “walk 10,000 steps or more”) are displayed.

[F. Monitoring process]
The process of "3. Monitoring" shown in FIG. 3 is executed by the skin condition recognition unit 11 and the measure information transmission unit 13 every period set by the user Ua on the skin support application 35a (every day in FIG. 11B). .. The user Ua who has started to use the skin support application 35a uses the user terminal 30 to check the daily skin, body, and mental states, the implementation status of the measures instructed by the schedule, and the users other than the measures instructed by the schedule. Enter the implementation status of Ua's voluntary actions (actions outside the policy). The implementation status of the measures includes information indicating whether or not "take a bath", "vegetable intake", and "walk 10,000 steps or more", as well as "30 minutes", "take a bath", and "300g". ”And“ ingest vegetables ”,“ 15,000 steps ”and“ walking ”, etc., the degree of implementation of measures expressed in terms of time, amount, etc. is included.

When the skin, body, and mental state are input by the user Ua in STEP 53 of FIG. 6, the skin support application 35a proceeds to STEP 60, and similarly to the above-mentioned initial user information data, the skin, body, and skin of the user Ua. The current user information data including subjective data and objective data about the state of mind is transmitted to the skin support server 10 and processed in STEP 54. The skin support application 35a proceeds to STEP 54 as it is when the skin, body, and mental states are not input by the user Ua in STEP 53 of FIG. The data transmitted here does not include data on stratum corneum cells collected by the stratum corneum collection tape 37.

Further, the skin support application 35a advances the process to STEP 61 when the schedule execution status (execution status of each measure) is input by the user Ua in STEP 54 of FIG. 6, and displays the execution status data indicating the schedule execution status. It is transmitted to the skin support server 10 and the process proceeds to STEP 55 in FIG. When the schedule execution status (execution status of each measure) is not input by the user Ua in STEP 54 of FIG. 6, the skin support application 35a proceeds to STEP 55 as it is.

Further, the skin support application 35a proceeds to STEP 62 when the implementation status of the non-measure action is input by the user Ua in STEP 55 of FIG. 7, and the non-measure action implementation data showing the content of the implemented non-measure action is shown. Is transmitted to the skin support server 10 and the process proceeds to STEP56. The skin support application 35a proceeds to STEP 56 as it is when the implementation status of the non-measure action is not input by the user Ua in STEP 55 of FIG. 7.

STEP13 to STEP16 in FIG. 4 and STEP20 to STEP22 in FIG. 4 are processes by the measure information transmission unit 13. When the skin condition recognition unit 11 receives the current user information data from the user terminal 30 in STEP 13, the process proceeds to STEP 20, the current user information data is accumulated in the support DB 20, and the process proceeds to STEP 14. When the skin condition recognition unit 11 does not receive the current user information data from the user terminal 30 in STEP 13, the skin condition recognition unit 11 proceeds to the process as it is in STEP 14.

Further, the measure information transmission unit 13 proceeds with processing in STEP 21 when the execution status data is received from the user terminal 30 in STEP 14, stores the execution status data in the support DB 20, and proceeds with processing in STEP 15. On the other hand, if it is determined in STEP 14 that the execution status data has not been received from the user terminal 30, the process proceeds to STEP 15 as it is.

Further, the measure information transmission unit 13 proceeds to STEP 22 when receiving the non-measure action implementation data from the user terminal 30 in STEP 15, stores the non-measure action implementation data in the support DB 20, and processes it in STEP 16 of FIG. Proceed. On the other hand, when the measure information transmission unit 13 does not receive the non-measure action implementation data from the user terminal 30 in STEP 15, the process proceeds to STEP 16 of FIG. 5 as it is.

Moving to FIG. 5, in STEP 16, the measure information transmission unit 13 is based on the initial user information data of the user Ua, the current user information data, the execution status data, the non-measure action implementation data, etc. accumulated in the support DB 20. Progress table data indicating the progress status of the schedule is created, and this progress table data is transmitted to the user terminal 30.

Here, as shown in FIG. 12, for example, the progress table of the schedule shows the score of the skin condition (here, dry skin), the score of the physical condition, the score of the mental condition, and the measures (ingestion of the bathtub, vegetables) in order from the top. The implementation status (ingestion, walking 10,000 steps or more), living information (vegetable intake, water intake), and special living cases are displayed on a daily basis.

In addition, the schedule progress table includes the degree of implementation of the measures ("30 minutes" bathtub, "300 g" vegetable intake, "15,000 steps" walking).

In the user terminal 30, when the skin support application 35a receives the progress table data transmitted from the skin support server 10 in STEP 56 of FIG. 7, it proceeds to STEP 63 and holds the progress table data in the memory 36. The skin support application 35a displays the progress table shown in FIG. 12 on the display 31 of the user terminal 30 by using the progress table data stored in the memory 36.

Further, in addition to the progress table data, the skin support application 35a has the initial user information data, the current user information data, the execution status data, and the user Ua's initial user information data, the current user information data, and the execution status data, which are recognized via communication and stored in the support DB 20 of the skin support server 10. Information indicating the transition or change of each state of the skin, body, and mind of the user Ua is displayed on the display 31 of the user terminal 30 by using the non-measure action implementation data or the like.

For example, as shown in FIG. 13, the skin support application 35a includes the user's behavior (change of face washing method, massage, etc.) and the user's physical condition (physiology, lack of sleep, etc.) other than the measures according to the schedule. , The relationship between changes in the skin condition of the user Ua is displayed on the display 31 as a daily time-series graph.

In addition, as shown in FIG. 14, the skin support application 35a changes the skin condition including the keratin state of the user Ua, the psychological condition, the satisfaction level of skin care, and the evaluation value of how to use the cosmetics on a monthly basis. The contrasted radar chart is displayed on the display 31.

The user Ua visually recognizes these displays by the skin support application 35a and confirms the change in each state of his / her skin, body, and mind, thereby grasping the change in the state of body and mind as well as the degree of improvement of the skin. Therefore, it is possible to reach the goal of the target skin condition while improving the skin, body, and mind condition in a well-balanced manner.

[G. Schedule correction]
The process of "4. Schedule correction" shown in FIG. 3 is executed by the measure information transmission unit 13 every period set by the user Ua on the skin support application 35a (every week in FIG. 11B). STEP17 to STEP20 and STEP30 to STEP33 in FIG. 5 are processes by the measure information transmission unit 13.

Further, the skin support application 35a proceeds to STEP64 in the step of "4. Schedule correction" and executes the substitution or maintenance determination process shown in FIG. Details of the substitution or maintenance determination process will be described later.

In STEP 17, the measure information transmission unit 13 is incorporated into the target achievement degree and schedule of the user Ua skin condition based on the initial user information data, the current user information data, the execution status data, etc. of the user Ua accumulated in the support DB 20. Evaluate the degree of implementation of each measure and the effect of each measure.

The measure information transmission unit 13 extracts the correlation between the skin condition and the physical or mental condition using the evaluation criteria of the measures shown in FIG. 15A, and based on this correlation, each measure incorporated in the schedule. Judgment of continuation, exclusion from the measure group, cancellation of the measure, change to another measure.

In the evaluation criteria of FIG. 15A, four items are used as judgment items: presence / absence of implementation, effect on skin, effect on body, and effect on mind, and the implementation rate exceeds the predetermined implementation rate, which has a positive effect on the skin. Measures that are present and that do not have a negative effect on the body and mind are evaluated as A and are judged to be continued. In addition, in FIG. 15A, the measure whose implementation rate exceeds the predetermined implementation rate is described as "implementation", and the measure whose implementation rate is less than or equal to the predetermined implementation rate is described as "non-implementation". The same applies to FIGS. 12 and 15B.

When the timing of the impact of the measure and the period for which the impact continues are set for each measure, the measure information transmission unit 13 determines the impact of each measure based on the timing of the impact of the measure and the period during which the effect of the measure continues. You may judge.

For example, if it is stipulated that the effect of the measure of "immersing in a bathtub" on the skin, the body, and the mind will be affected the next day and will continue for only one day, the measure information transmission unit 13 will For example, it is judged that the influence of the measure of "immersing in a bathtub" on December 15 is reflected in each state on December 16.

In addition, if it is stipulated that the effect of the measure of "vegetable intake" on the skin, the body, and the mind will be affected after one week and will continue for only three days, the measure information transmission unit 13 will be notified. For example, it is judged that the influence of the measure of "vegetable intake" on December 15 is reflected in each state from December 22 to December 24.

On the other hand, measures that are implemented and have a positive effect on the skin but have a negative effect on either the body or the mind are evaluated as B and are judged to be canceled or changed to another measure. In addition, since it is considered that the measure whose implementation rate is less than the predetermined implementation rate has a heavy load on the user Ua, it is evaluated as C and canceled or another measure (for example, a measure to reduce the load on the user Ua or another measure). Measure) is judged to be a change.

The measure information transmission unit 13 may evaluate whether each measure has a positive or negative effect on the skin, body, and mind by implementing each measure for only one day, or in a certain period such as several days or several weeks. By implementing each measure, it may be evaluated whether it has a positive or negative effect on the skin, body and mind. When the evaluation is performed in a certain period, for example, the measure information transmission unit 13 gives a B evaluation when any of the states is adversely affected at a certain ratio, a C evaluation when the implementation ratio is below a certain ratio, and other cases. In the case of, it may be evaluated as A. Instead of this, the measure information transmission unit 13 may be evaluated as B when, for example, the average value of satisfaction in any of the states in a certain period is equal to or less than a predetermined value. In addition, if the satisfaction level of any of the states in one day is less than or equal to the predetermined value and the average value of the satisfaction levels of any of the states in a certain period is less than or equal to the predetermined value, the evaluation is C and any of the evaluations in one day. If the satisfaction level of one of the states is below the specified level, or if the average value of the satisfaction level of any of the states is below the specified level, the rating is B, and the satisfaction level of any of the states in one day is specified. If the value is exceeded and the average value of satisfaction in any of the states exceeds a predetermined value, the evaluation may be A, and the evaluation for one day and the evaluation for a certain period may be used in combination. ..

Further, when the improvement degree of the skin condition score shown in FIG. 8 is equal to or less than the predetermined improvement degree, the measure information transmission unit 13 implements a measure in which the improvement degree of the skin condition score is equal to or less than the predetermined improvement degree. It may be excluded from the measure group. The measure information transmission unit 13 sets a measure group in which the improvement degree of the physical condition or the mental state score is less than or equal to the predetermined improvement degree when the improvement degree of the physical condition or the mental state score is less than or equal to the predetermined improvement degree. May be excluded from.

FIG. 15B shows an example in which the evaluation criteria shown in FIG. 15A are applied to the measures in the present embodiment (soaking in a bathtub, ingesting vegetables, walking 10,000 steps or more). According to FIG. 15B, the measure information transmission unit 13 decides to continue on the next schedule with "use in the bathtub" as an A evaluation, and excludes "vegetable intake" from the measure group as a B evaluation. Decided to cancel or change to another measure on the schedule, and "walk 10,000 steps or more" is evaluated as C, excluded from the measure group, canceled on the next schedule or changed to another measure. I have decided.

The measure information transmission unit 13 determines the influence of a plurality of measures for each combination of those measures. For example, if the combination of "soak in the bathtub" and "vegetable intake" is B evaluation or C evaluation, the measure information transmission unit 13 decides only one measure of "soak in the bathtub" or "vegetable intake". , Or it may be changed to be a combination of any of these measures and another measure.

The measure information transmission unit 13 performs such an evaluation process, determines the necessity of schedule revision (mainly correction by changing to other measures of the measure group), and when it is determined that schedule revision is necessary, processes it in STEP30. To correct the schedule. Then, the schedule correction data, which is the data of the corrected schedule, is transmitted to the user terminal 30, and the process proceeds to STEP 19. On the other hand, when it is determined that the schedule revision is unnecessary, the measure information transmission unit 13 proceeds from STEP 18 in FIG. 5 to STEP 19 in FIG. 5, and in this case, the schedule is not revised.

Next, the measure information transmission unit 13 is incorporated in each non-measure action (scheduled) performed by the user Ua based on the initial user information data, the current user information data, the non-measure action implementation data, and the like in STEP 19. In addition to the measures, the actions taken by the user) are evaluated.

The measure information transmission unit 13 determines whether or not to recommend or prohibit the non-measure action by using the evaluation criteria of the non-measure action shown in FIG. 16A. In the evaluation criteria of FIG. 16A, the influence on each state of the skin, body, and mind is used as a determination item.

If "there is a positive effect on the skin, body, or mind, and there is no negative effect on any of them," a D rating is recommended. On the other hand, if "it has a bad effect on the skin, body, or mind", it will be evaluated as E and prohibited. In addition, if "there is no effect on the skin, body, or mind", it will be evaluated as F and implementation is not recommended.

FIG. 16B shows an example in which the evaluation criteria shown in FIG. 16A are applied to the out-of-measure behavior (massage received, ingested a large amount of chocolate) in the present embodiment. According to FIG. 16B, the measure information transmission unit 13 has decided to recommend the implementation according to the following schedule as a D evaluation for "receive a massage". In addition, regarding "large amount of chocolate intake", as an E evaluation, it has been decided to propose measures to stop it in the next schedule (for example, alternatives to ingesting Japanese sweets).

When the measure information transmission unit 13 decides to recommend or prohibit the implementation of the measures incorporated in the schedule, such as cancellation or change, or actions outside the measures, the process proceeds from STEP 20 to STEP 31. Then, when the recommendation is decided, the process proceeds from STEP 31 to STEP 33, the non-measure action recommendation data for recommending the implementation of the non-measure action is transmitted to the user terminal 30, and the process proceeds to STEP 13 in FIG.

On the other hand, when the measure information transmission unit 13 decides the prohibition proposal, the process proceeds from STEP 31 to STEP 32, and the non-measure action prohibition data proposing the prohibition of the non-measure action is transmitted to the user terminal 30, and FIG. Proceed to STEP13.

Further, the measure information transmission unit 13 proceeds from STEP 20 to STEP 13 of FIG. 4 when there is no action outside the measure that proposes recommendation or prohibition. If there is an alternative action in the non-measure action that proposes prohibition, the non-measure action prohibition data that proposes a change to the alternative action may be transmitted to the user terminal 30 instead of the prohibition proposal.

When the skin support application 35a receives the schedule correction data from the skin support server 10 in STEP 57 of FIG. 7, the skin support application 35a proceeds to STEP 65 and corrects the schedule based on the schedule correction data. Then, the skin support application 35a updates the schedule data held in the memory 36, and advances the process to STEP 58.

Further, when the skin support application 35a receives the non-measure action recommendation data or the non-measure action prohibition data from the skin support server 10 in STEP 58 of FIG. 7, the process proceeds to STEP 66, and the non-measure action is performed according to the received data. A screen for notifying the recommendation or prohibition proposal is displayed on the display 31 of the user terminal 30. Note that this notification may be performed by displaying a notification message on the progress table shown in FIG. 12, for example. In addition, the schedule may be revised as a new measure for the recommended non-measure action.

[H. Goal judgment process]
In the process of "5. Goal determination" shown in FIG. 3, every period set by the user Ua on the skin support application 35a (3 months after START in FIG. 11B), the skin condition recognition unit 11 and the measure group It is executed by the selection unit 12 and the measure information transmission unit 13.

The skin support application 35a displays a message prompting the use of the keratin collecting tape 37 and the mailing of the keratin collecting tape 37 on the display 31 of the user terminal 30.

The skin condition recognition unit 11 recognizes objective values of skin condition (water retention capacity, sebum eligibility, etc.) based on the information obtained from the mailed keratin collection tape 37.

In addition, the skin support application 35a displays a message prompting the use of a questionnaire response and imaging of the skin or the like on the display 31 of the user terminal 30, and transmits the obtained information.

The skin condition recognition unit 11 recognizes the subjective value (subjective score) of the dryness of the skin and the objective value (skin image score) of the skin condition based on the information obtained from the skin support application 35a.

The measure group selection unit 12 and the measure information transmission unit 13 compare the evaluation values at the start of support for the skin condition and after 3 months based on the subjective value of the dryness of the skin and the objective value of the skin condition. Determine the degree of goal achievement.

In the example of FIG. 17, since the score of the subjective value of dryness increased from 3 to 5 in 3 months, it was judged to be achieved (○), and as for the objective value, the skin image score was 3 to 4 in 3 months. It is judged to be achieved (◯) because the water retention capacity is maintained at 2 and the sebum eligibility is increased from 1 to 2. Since both the subjective value and the objective value have achieved the goal, it is judged that the goal has been achieved as a whole.

The skin condition recognition unit 11 and the measure group selection unit 12 re-execute the process of "1. Goal setting" shown in FIG. 3 in order to set a new goal when the goal is achieved. If the goal is not reached, the skin condition recognition unit 11 and the measure group selection unit 12 may carry out the "2. schedule determination" process, or "1. goal setting" according to the user's wishes or progress. The process may be performed again.

[I. Secondary data generation]
The process of "6.2 Secondary data generation" shown in FIG. 3 is executed by the secondary data generation unit 19. The secondary data generation unit 19 includes various data such as initial user information data, stratum corneum cell analysis data, current user information data, execution status data, and out-of-measure action implementation data transmitted from a plurality of users U (hereinafter, individual users). Data) is sequentially accumulated in the support DB 20 for each user.

Then, the secondary data generation unit 19 analyzes the user individual data stored in the support DB 20, and as shown in FIG. 18, for example, the characteristics (gender, age, place of residence, preference, lifestyle, etc.) of each user. ), Support improvement targets (dryness, stiffness, sensitivity, acne, deflation, etc.), measures proposed by the schedule (soaking in a bathtub, eating vegetables, walking 10,000 steps or more, etc.), and skin by implementing the measures, Generates secondary data that associates changes in each state of the body and mind.

In addition, as for the non-measure behavior, the secondary data generation unit 19 generates secondary data in which the characteristics of each user and the influence of each state of the skin, body, and mind due to the implementation of the non-measure behavior are associated with each other, as in FIG. Generate.

The secondary data generated in this way is effectively utilized when selecting effective measures for improving the skin condition while having a positive effect on the body and mind for users having similar characteristics. be able to. For example, in the process of “2. Schedule determination” in FIG. 3 described above, the measure group selection unit 12 can select a measure suitable for the characteristics of the user Ua by referring to the secondary data.

Further, in the process of "4. Schedule correction" in FIG. 3 described above, when the measure information transmission unit 13 changes the schedule according to the transition of each state of the skin, body, and mind of the user Ua, the secondary data You can change to a schedule that incorporates more effective measures or actions outside the measures by referring to.

Furthermore, the secondary data can be effectively used to support the skin condition, and for marketing purposes targeting users with certain characteristics (for example, outdoor-oriented women in their 30s living in Tokyo). Can also be used. Therefore, the secondary data may be provided to another system 60 or the like shown in FIG.

[J. Substitution or maintenance judgment processing]
An example of the substitution or maintenance determination process will be described with reference to FIGS. 19 to 21.

In the following, at least one of the skin condition, body condition, or heart condition to be improved is referred to as a designated condition. In the present embodiment, the skin condition will be described as a designated condition.

In STEP 101 of FIG. 19, the user data recognition unit recognizes the user Ua data stored in the support DB 20 of the skin support server 10 for a specified period.

The designated period is preferably one day when the designated state is the skin state, for example, from the day before the execution of the application to the day. Instead of this, for example, depending on the type of measure, the designated period may be one week, one month, or the like.

As described above, the user Ua data is the data input in each of STEP53 in FIG. 6 to STEP55 in FIG. 6 and transmitted to the skin support server 10 in STEP60 to STEP62 in FIG. The user Ua data includes at least initial user information data, current user information data, and user behavior data (execution status data and out-of-measure behavior execution data) indicating user behavior.

The measure is an action registered in the skin support server 10 based on the user's intention as an action desired to be executed by the user, and the non-measure action is an action executed by the user, but is stored in the skin support server 10. It is an unregistered action.

Supplementally, in STEP53 and STEP54 of FIG. 6, and STEP55 of FIG. 7, a screen as shown in FIG. 20 (hereinafter referred to as a home screen) is output to the display 31 and input to a specific location on the home screen. The given values are recognized as the skin, body, and mental states, the execution status of the schedule, and the implementation status of the out-of-measure actions, respectively.

The home screen shown in FIG. 20 includes a screen link P000 at the bottom of the screen, a date display P010 at the upper right of the screen, a skin condition input display P020 at the top of the screen, a first action input display P030, and a body condition input display at the middle of the screen. It includes P041, a heart state input display P042, a second action input display P050 at the bottom of the screen, a third action input display P060, and a registration button P070.

The screen link P000 includes a home button P001 linked to the home screen, a list display button P002 linked to the user data list display screen, and a graph display button P003 linked to the screen for displaying the user data graph. , A setting button P004 linked to a setting screen for setting measures and the like is included.

The date display P010 is a date display of the input user information. In principle, the date display P010 is a display of the date when the skin support application 35a is executed, but for example, there is data that the user Ua did not input in the past days, and the user Ua inputs the data. When the operation of is performed, the target date may be displayed.

The skin condition input display P020 is a part of the screen for inputting the skin condition of the user. In the present embodiment, the skin condition input display P020 is composed of a slide bar P021 and icons P022 and P023, and enables input of subjective values related to the user's skin condition by VAS (Visual Analog Scale).

The icon P023 is displayed in a lighter shade than the icon P022. For example, the icon P022 is dark green and the icon P023 is gray. Icon P023 indicates the subjective value of the skin condition of the user Ua at the date and time to be compared (for example, when inputting in the evening, the skin condition of the user Ua in the morning or the skin condition of the user Ua in the previous day). .. In this way, by displaying the previously input subjective value of the skin condition in an identifiable manner, it is possible to input the subjective value of the skin condition in comparison with the subjective value of the skin condition at the date and time of the comparison target. become able to.

Further, in the present embodiment, the subjective value of the dryness of the skin of the user Ua is input as the subjective value of the skin condition of the user Ua. Instead of this, for example, the skin condition of a plurality of items may be input by a plurality of VAS. Further, the skin condition item to be input may be selected based on the goal of the user Ua. Further, the skin condition item to be input may be selected based on the information input by the user Ua.

The first action input display P030, the second action input display P050, and the third action input display P060 are displays for accepting inputs of the daily actions of the user Ua, respectively.

The first action input display P030 is a display for accepting an input of the degree of execution of the action (in the case of sleep, sleep time). In the present embodiment, the first action input display P030 is composed of VAS, and includes a slide bar P031, an icon P032, and a numerical display P033 of the degree of execution. When the touch panel 32 detects that the user Ua touches the slide bar P031 with a finger, the skin support application 35a displays the icon P032 at a position on the screen corresponding to the position of the finger of the user Ua, and also displays the icon P032. The numerical display P033 is changed so as to indicate the degree of execution (integer or decimal) corresponding to the position of the finger of the user Ua.

The second action input display P050 is a display for accepting an input of whether or not each action is performed. When the touch panel 32 detects a pressing operation at any position of the second action input display P050 by the user Ua, the skin support application 35a switches the respective positions of the icons P051 to P053 corresponding to the pressed operation position. Change and change the color of the icon. Here, the left side is not implemented and the right side is already implemented. FIG. 20 shows that the user Ua did not "walk for 1 km or more" or "bath for 20 minutes or more" while "drinking and eating".

The actions of the first action input display P030 and the second action input display P050 may be measures that the user Ua wishes to execute, or may be actions specified in advance by the developer of the skin support application 35a or the like. It may be an action related to the goal of the user Ua. In the following, it will be explained that "walking for 1 km or more" and "bathing for 20 minutes or more" are measures.

The third action input display P060 is a display for accepting information that the user Ua can freely input in text according to the event performed on that day. The third action input display P060 includes a special action input display P061 for accepting an input of a special action and a special food and drink input display P062 for receiving an input of a special food and drink particularly related to eating and drinking among the actions. ..

The body state input display P041 is a display for accepting input of the user's body state such as fatigue and stool hardness. The physical condition input display P041 is composed of a pull-down menu for selecting words indicating a stepwise fatigue feeling, such as "none", "slightly", "slightly strong", and "strong" in the case of fatigue feeling.

The mental state input display P042 is a display for accepting an input of a user's mental state such as mood. The mental state input display P042 is composed of a pull-down menu for selecting words indicating a stepwise mood (mental state) such as "easy", "slightly easy", "slightly spicy", and "spicy".

When the skin support application 35a detects the pressing operation of the registration button P070 via the touch panel 32, the skin support application 35a transmits the input data in STEP 60 to STEP 62 of FIG. 6 to the skin support server 10. The data input to each of the skin state input display P020, the body state input display P041, and the heart state input display P042 are data indicating the skin, body, and heart states. Further, among the data input to the first action input display P030 and the second action input display P050, the data related to the action of the measure is the data indicating the execution status of the schedule. Of the data input to the first action input display P030 and the second action input display P050, the data related to the action not related to the measure and the data input to the third action input display P060 indicate the implementation status of the action outside the measure. It is the data to show.

Returning to the explanation of STEP 101 in FIG. 19, the user data recognition unit has the initial user information data, execution status data, and out-of-measure action implementation stored in the support DB 20 of the skin support server 10 and input to the home screen of FIG. 20. Receive data and current user information data.

In STEP 102 of FIG. 19, the action recognition unit recognizes the action of the user Ua in the designated period.

More specifically, the action recognition unit recognizes each of the user Ua's actions (one or both of the actions included in the measure and the actions outside the measure) in the designated period based on the data of STEP 101 of FIG.

For example, the behavior recognition unit recognizes the user's behavior "drinking and eating" and "singing a song" during the designated period (June 14, 2017) from the information input in FIG. 20. In addition, the behavior recognition unit recognizes the behavior "cracker intake" from the special dietary food "XX cracker" with reference to a table (not shown).

In STEP 103 of FIG. 19, the designated state determination unit recognizes the score of the designated state of the user Ua in the designated period based on the data of STEP 101 of FIG.

For example, the designated state determination unit recognizes the dryness score from the information input in FIG. When the physical state or the mental state is the designated state, the designated state determination unit may score the information regarding the feeling of fatigue or mood input in FIG. 20 and recognize the score of the designated state.

Hereinafter, the processes of STEP104 to STEP109 of FIG. 19 are executed for each action of the user Ua in the designated period. The behavior of the processing target is called the "target behavior".

In STEP 104 of FIG. 19, the designated state determination unit determines whether or not the score of the designated state of the user Ua in the designated period is less than the first score.

The first score is a threshold value for indicating whether or not the designated state of the user has deteriorated. For example, the first score may be the average value of the scores of the user Ua in the designated state in the period before the designated period, or may be the score of the user Ua in the designated state immediately before the designated period. It may be the score of the specified state of the user Ua at the end of the specified period predicted from the time-series transition of the score of the specified state of the user Ua, or a value obtained by subtracting a predetermined value from these values. May be.

When the determination result is affirmative (YES in STEP 104 of FIG. 19), in STEP 105 of FIG. 19, in order to determine whether or not the load of the user is high, the output control unit sets the load of the target action to a predetermined load threshold value. It is determined whether or not it is the above. Note that STEP 105 in FIG. 19 may be omitted and the process in STEP 106 in FIG. 19 may be executed.

The load of the target behavior means a numerical value indicating the magnitude of the burden on the user Ua to take the target behavior. For example, a monetary load indicating the amount of money for taking a target action, a time load indicating the length of time for taking a target action, a psychological load indicating the amount of psychological resistance for taking a target action, and a target. Each of the action difficulty levels indicating the difficulty level of the action is scored, and the load of the target action can be expressed by the total value or the like.

The load of the target behavior may be determined based on the past behavior of the user Ua and data derived from the user Ua such as a questionnaire, or another user having the same attributes (age, gender, region, etc.) as the user Ua. It may be determined based on the past behavior of Ub, Uc, data derived from the user Ub, Uc such as a questionnaire, or may be a value predetermined by the developer of the skin support application or the like.

The load threshold value may be a value predetermined by the developer of the skin support application or the like, a value set by the user, or the user feels a load from the tendency of the user's past behavior. It may be a value estimated to be.

The load of the target behavior is represented by a set of multiple numerical values such as a financial load, a time load, a psychological load, and a numerical value indicating the difficulty of the action, and it is determined for each numerical value whether or not it is equal to or higher than the threshold value. You may. In this case, the output control unit may determine that the determination result of STEP 105 in FIG. 19 is positive when any one of the numerical values is equal to or greater than the threshold value for the numerical value, or the plurality of numerical values may determine the threshold value for each numerical value. If the above is the case, the determination result of STEP 105 in FIG. 19 may be determined to be positive.

The output control unit may recognize the table of FIG. 21 by communicating with the skin support server 10, and may recognize the load of the target behavior by searching the table of FIG. 21. For example, the load of drinking and eating is 8, the load of singing is 3, and the load of ingesting crackers is 2.

The output control unit may recognize the load threshold value by communicating with the skin support server 10, for example.

If the determination result is affirmative (YES in STEP 105 of FIG. 19), the user's designated state has deteriorated and the load is high for the user. Therefore, in STEP 106 of FIG. 19, the output control unit performs an alternative action. Perform the recommended processing of. Details of the recommended processing of alternative actions will be described later.

When the determination result of STEP 104 in FIG. 19 is negative (NO in STEP 104 of FIG. 19), the user's designated state has not deteriorated. Therefore, in STEP 107 of FIG. 19, the designated state determination unit is the user in the designated period. It is determined whether or not the score in the designated state of Ua is the second score or higher.

The second score is a threshold value for indicating whether or not the designated state of the user has improved, and is a value equal to or higher than the first score. For example, the second score may be the average value of the scores of the user Ua in the designated state in the period before the designated period, or may be the score of the user Ua in the designated state immediately before the designated period. Alternatively, it may be the score of the specified state of the user Ua at the end of the specified period predicted from the time-series transition of the score of the specified state of the user Ua, or a value obtained by adding a predetermined value from these values. May be.

When the determination result of STEP 105 in FIG. 19 is negative or the determination result of STEP 107 in FIG. 19 is negative (NO in STEP 105 in FIG. 19 or NO in STEP 107 in FIG. 19), the user's designated state deteriorates. However, it is preferable to leave the selection of measures to the user because the load on the user is not high or the state specified by the user has not deteriorated or improved. Therefore, in this case, in STEP 108 of FIG. 19, the output control unit outputs a measure selection screen for selecting a measure to the display 31. In STEP 108 of FIG. 19, the output control unit does not output the information prompting the continuation of the measure or the information prompting the cancellation of the measure to the display 31.

If the determination result of STEP107 in FIG. 19 is affirmative (YES in STEP107 of FIG. 19), the user's designated state is improved. Therefore, in STEP109 of FIG. 19, the output control unit has the same or similar behavior. Perform the recommended maintenance process. Details of the recommended process for maintaining the same or similar behavior will be described later.

After the processing of STEP 106, STEP 108 or STEP 109 of FIG. 19, in STEP 110 of FIG. 19, whether or not the skin support application 35a has executed the processing of STEP 104 to STEP 109 of FIG. 19 for all actions of the user Ua during the specified period. judge.

When the determination result is negative (NO in STEP 110 of FIG. 19), the skin support application 35a executes the process of STEP 104 of FIG. 19 for the unprocessed action because the unprocessed action remains.

If the determination result is affirmative (YES in STEP 110 of FIG. 19), the skin support application 35a ends the substitution or maintenance determination process because there is no unprocessed action left.

[K. Recommended processing of alternative actions]
With reference to FIG. 22, an example of a detailed flow of the recommended processing of the alternative action of STEP 106 of FIG. 19 will be described.

In STEP 201 of FIG. 22, the output control unit determines whether or not the target behavior is an activity of daily living. The term "activity of daily living" means basic behaviors such as eating, changing clothes, moving, excreting, dressing, and bathing, which are indispensable for daily life. For example, the output control unit determines whether or not the type of action of the target action is an activity of daily living by referring to the table shown in FIG.

If the determination result is negative (NO in STEP 201 of FIG. 22), the target behavior is not an activity of daily living. Therefore, in STEP 202 of FIG. 22, the preference recognition unit recognizes the preference of the user Ua.

For example, the preference recognition unit recognizes the user Ua's preference regarding the behavior category by recognizing the preference data regarding the behavior category previously registered by the user Ua via communication with the skin support server 10. In the present specification, the term "behavior category" means a basic classification of behavior such as "meal", "changing clothes", "movement", "excretion", "conditioning", and "bathing". Further, in the present specification, the term "behavior type" means a classification of behavior such as "eating vegetables" and "running", which is finer than "behavior category".

Further, the preference recognition unit recognizes the behavior data of the user Ua via the communication with the skin support server 10, and based on the tendency of the user's behavior shown in the data, the preference of the user Ua regarding the behavior category. May be recognized. In this case, for example, when the execution rate of the action of the user Ua in a certain category is equal to or higher than a predetermined threshold value, the output control unit may recognize the category as the category of the action preferred by the user Ua. Further, for example, when the execution rate of an action of a certain category of the user Ua is higher than the average of the execution rate of other actions of the user, the output control unit recognizes the category as the category of the action preferred by the user Ua. May be good.

In STEP 203 of FIG. 22, the output control unit determines whether or not the category of the target behavior matches the preference of the user Ua. For example, the output control unit can recognize the category of the target action by referring to the table of FIG. 21. When the category of the target action and the category of the action preferred by the user recognized in STEP 202 of FIG. 22 are the same, the output control unit may recognize the determination result of STEP 203 of FIG. 22 as positive.

When the determination result of STEP201 of FIG. 22 is positive or the determination result of STEP203 of FIG. 22 is positive (YES in STEP201 of FIG. 22 or YES in STEP203 of FIG. 22), the target behavior is an activity of daily living. Even if the target behavior is not an activity of daily living, the category of the target behavior matches the preference of the user Ua. Therefore, in STEP 204 of FIG. 22, the output control unit outputs to the display 31 information prompting different actions in the same category as the target action category. For example, if the target behavior is cracker intake, the output control unit may use the information "Chocolate intake instead of cracker intake", which is the same as the cracker intake behavior category "Snack". ] And the like are output to the display 31.

When the determination result of STEP 203 of FIG. 22 is negative (NO in STEP 203 of FIG. 22), the target behavior is not an activity of daily living and the category of the target behavior does not match the preference of the user Ua. In STEP 205, the output control unit outputs information prompting an action in a category different from the category of the target action to the display 31. For example, when the target behavior is cracker intake, the output control unit receives information "walking 1 km instead of cracker intake" that encourages the behavior "walking" of another type "walking" to the category "snack" of the behavior of cracker intake. A message such as "Why don't you do this?" Is output to the display 31.

In STEP 204 of FIG. 22 or STEP 205 of FIG. 22, the output control unit may select alternative actions in ascending order of action load, or may select alternative actions in descending order of fluctuation in average score. , The user recognizes an action that has never been performed or an action that is not normally performed through communication with the skin support server 10, and the action that has never been performed or an action that is not normally performed is used as an alternative action. You may choose.

The fluctuation amount of the average score is the average value of the fluctuation amount of the score in the designated state after the predetermined period in which each action is taken. For example, the fluctuation amount of the average score may be the average value of the fluctuation amount of the score in the designated state of the user Ua, or may be the average value of the fluctuation amount of the score in the designated state of other users Ub and Uc. good. Further, the fluctuation amount of the average score may be input by the developer of the skin support application or the like.

After STEP 204 of FIG. 22 or STEP 205 of FIG. 22, the recommended processing of the alternative action ends.

[L. Recommended processing of alternative actions]
With reference to FIGS. 23 to 24, another example of the detailed flow of the recommended processing of the alternative action of STEP 106 of FIG. 19 will be described. In this process, the target action is eating and drinking, and eating and drinking is recommended as an alternative action. The category of behavior related to eating and drinking is "meal" or "snack" in this embodiment.

In STEP 301 of FIG. 23, the output control unit recognizes the first substance, which is the main substance ingested in the first action as the target action.

The "major substance" may be a substance that occupies a predetermined ratio or more (for example, 20% or more) of the total amount of the substance ingested in the action, such as the total weight or volume, or in the action. The amount of the substance to be ingested may be a substance having a predetermined ratio (for example, 50% or more) of the amount recommended for ingestion in a predetermined period according to a predetermined standard such as a food intake standard.

The output control unit may recognize, for example, the main substance ingested in the first action by referring to the table shown in FIG. 24 received from the skin support server 10. For example, the output control unit recognizes the food and drink "cracker" ingested in the first action "cracker ingestion" from the table shown in FIG. 21, and recognizes the main substance "salt" from the table shown in FIG. 24. You may. The food and drink means one food or drink or a combination thereof, and the substance means a substance contained in the food and drink (food and drink or drink).

In addition to or in lieu of referring to the table shown in FIG. 24, the output control unit may recognize the main substances of the food and drink "cracker" from the composition table of the food and drink "cracker" according to a predetermined rule. good.

In STEP 302 of FIG. 23, the output control unit recognizes the second behavior in which the main substance ingested is a second substance different from the first substance.

For example, the output control unit recognizes the second substance "lipid" different from the first substance "salt" by referring to the table shown in FIG. 24, and the food and drink in which the second substance "lipid" is the main substance. Recognize "chocolate" and, with reference to the table shown in FIG. 21, recognize the second action "chocolate intake" of ingesting food and drink "chocolate".

In addition, instead of the table of FIG. 24, each action and each substance may be associated with each other.

Further, the output control unit may recognize an action in the same category as the first action category as the second action with reference to FIG. 21. Further, the output control unit may further select the second action in ascending order of action load, or may select the second action in descending order of the fluctuation amount of the average score, and the skin support server 10 may be selected. Even if the user recognizes an action that has never been performed or an action that is not normally performed through communication with the user, and selects the action that has never been performed or an action that is not normally performed as the second action. good.

In STEP 303 of FIG. 23, the output control unit outputs to the display 31 information that recommends the second action as an alternative action of the first action. In this case, the output control unit also outputs information to the display 31 that the first action contains the first substance and the second action contains the second substance different from the first substance. Is preferable.

After STEP 303 in FIG. 23, the recommended processing of the alternative action ends.

[M. Recommended processing of alternative actions]
With reference to FIGS. 25 to 26, another example of the detailed flow of the recommended processing of the alternative action in STEP 106 of FIG. 19 will be described. In this process, the target action is eating and drinking, and eating and drinking is recommended as an alternative action. The category of behavior related to eating and drinking is "meal" or "snack" in this embodiment.

In STEP 401 of FIG. 25, the output control unit recognizes the third substance, which is the main substance ingested in the third action as the target action. This process is the same as the process of STEP 301 in FIG.

In STEP 402 of FIG. 25, the output control unit recognizes the fourth action in which the main substance to be ingested is the same as the third substance and the intake of the third substance is smaller than the third action. For example, when the third action is "chocolate ingestion", the food and drink ingested in the third action is "chocolate", and the third substance is "lipid", the output control unit uses the table of FIG. 26. By reference, recognize "biscuits" or "corn snacks" whose intake is less than "chocolate".

Further, the output control unit may recognize an action in the same category as the third action category as the fourth action with reference to FIG. 21. Further, the output control unit may further select the fourth action in ascending order of action load, or may select the fourth action in descending order of the fluctuation amount of the average score, and the skin support server 10 may be selected. Even if the user recognizes an action that has never been performed or an action that is not normally performed through communication with the user, and selects the action that has never been performed or an action that is not normally performed as the fourth action. good.

In STEP 403 of FIG. 25, the output control unit outputs information recommending the fourth action as an alternative action of the third action to the display 31.

After STEP 403 in FIG. 25, the recommended processing of the alternative action ends.

[N. Recommended processing of alternative actions]
With reference to FIGS. 27 to 28, another example of the detailed flow of the recommended processing of the alternative action of STEP 106 of FIG. 19 will be described. In this process, the target action is eating and drinking, and eating and drinking is recommended as an alternative action. The category of behavior related to eating and drinking is "meal" or "snack" in this embodiment.

In STEP 501 of FIG. 27, the output control unit recognizes the first food and drink ingested in the fifth action as the target action. For example, the output control unit recognizes the special food / drink "XX cracker" input to the screen of FIG. 20 as the first food / drink.

In STEP 502 of FIG. 27, the output control unit recognizes the type, manufacturer and product name of the first food and drink.

For example, the output control unit recognizes the XX cracker type “cracker”, the manufacturer “A company”, and the product name “XX cracker” with reference to the table shown in FIG. 28.

In STEP 503 of FIG. 27, the output control unit recognizes the recognition of the sixth action of ingesting the second food or drink that is the same as the type of the first food or drink and has a different manufacturer or trade name.

For example, the output control unit refers to the table shown in FIG. 28, and is the same as the XX cracker type “cracker”, but the manufacturer “A company” and the product name “XX cracker” are different. 2 Recognize food and drink. Candidates for the second food and drink are "○○ cracker", "△△ mountain" and "□□ village". The output control unit may recognize a plurality of sixth actions that ingest each of these, may select the sixth action in ascending order of action load, or may select the sixth action in ascending order of fluctuation in the average score. The sixth action may be selected, or the user recognizes an action that has never been performed or an action that is not normally performed through communication with the skin support server 10, and has never performed the action. Actions or actions that are not normally performed may be selected as the sixth action.

In STEP 504 of FIG. 27, the output control unit outputs to the display 31 information that recommends the sixth action as an alternative action of the fifth action. In this case, it is preferable that the output control unit also outputs one or both of the manufacturer and the trade name of the second food or drink to the display 31.

After STEP 504 in FIG. 27, the recommended processing of the alternative action ends.

[O. Recommended treatment for maintaining the same or similar behavior]
With reference to FIG. 29, an example of a detailed flow of the recommended process for maintaining the same or similar behavior in STEP 108 of FIG. 19 will be described. In this process, the target action is eating and drinking, and eating and drinking is recommended as an alternative action. The category of behavior related to eating and drinking is "meal" or "snack" in this embodiment.

In STEP601 of FIG. 29, the output control unit recognizes the fourth substance, which is the main substance ingested in the seventh action as the target action. This process is the same as STEP 301 in FIG. 23.

In STEP601 of FIG. 29, the output control unit recognizes the eighth action in which the main substance to be ingested is the same as the fourth substance and different from the seventh action. For example, when the 7th action is "chocolate ingestion", the output control unit refers to the table shown in FIG. 24 and refers to "potato chips" in which the main substance "lipid" to be ingested is the same but different from the 7th action. Recognize "ingestion" etc. as the eighth action.

The output control unit may recognize a plurality of eighth actions, may select the eighth action in ascending order of action load, or select the eighth action in descending order of the fluctuation amount of the average score. Alternatively, the user recognizes an action that has never been performed or an action that is not normally performed through communication with the skin support server 10, and the action that has not been performed or is not normally performed. May be selected as the eighth action.

For example, the output control unit recognizes the type of food and drink "potato chips" in which the amount of the fourth substance (lipid) contained is larger than that of "chocolate" by referring to the table shown in FIG. 26, and is not shown. By referring to the table, the eighth action "ingestion of potato chips" may be recognized.

In STEP 603 of FIG. 29, the output control unit outputs information recommending the eighth action to the display 31. In this case, the output control unit also indicates that the type of food and drink "potato chips" ingested in the eighth action is the same main substance "lipid" as the type of food and drink "chocolate" ingested in the seventh action. It is preferable to output the information to the effect that is included in the display 31.

In addition to or instead of this, the output control unit may output information recommending the maintenance of the same action as the seventh action from the display 31.

After STEP603 in FIG. 29, the recommended process of maintaining the same or similar behavior ends.

[P. Substitution or maintenance judgment processing]
With reference to FIG. 30, another example of the detailed flow of the substitution or maintenance determination process will be described. In this process, the target action is eating and drinking, and eating and drinking is recommended as an alternative action. The category of behavior related to eating and drinking is "meal" or "snack" in this embodiment.

In STEP 701 of FIG. 30, the user data recognition unit recognizes the data of the user Ua in the designated period in the same manner as in STEP 101 of FIG.

In STEP 702 of FIG. 30, the designated state determination unit recognizes the score of the designated state of the user Ua in the first period and the score of the designated state of the user Ua in the second period based on the data of STEP 701 of FIG. .. The first period and the second period are included in the designated period, respectively. The second period is a period after the first period.

In STEP 703 of FIG. 30, the designated state determination unit has a ninth action, which is the action of the user Ua in the first period, and a second action, which is the action of the user Ua in the second period, based on the data of STEP 701 of FIG. Recognize 10 actions.

In STEP704 of FIG. 30, the designated state determination unit determines whether or not the score of the designated state of the user Ua in the first period is less than the third score.

The third score, like the first score, is a threshold value for indicating whether or not the user's designated state has deteriorated. For example, the third score may be the average value of the scores of the user Ua in the designated state in the period before the second period, or may be the score of the user Ua in the designated state immediately before the second period. It may be the score of the user Ua's designated state at the end of the second period predicted from the time-series transition of the score of the user Ua's designated state, or a predetermined value may be obtained from these values. It may be the subtracted value.

If the determination result is affirmative (YES in STEP 704 of FIG. 30), in STEP 705 of FIG. 30, the output control unit is the main substance (No. 1) ingested in the ninth action in the same manner as STEP 301 of FIG. 5 substances) are recognized.

In STEP706 of FIG. 30, the designated state determination unit determines whether or not the score of the designated state of the user Ua in the second period is less than the fourth score.

The fourth score, like the first score and the third score, is a threshold value for indicating whether or not the designated state of the user has deteriorated. The fourth score may be the same as the third score, but is more preferably smaller than the third score. For example, the fourth score may be the average value of the scores of the user Ua in the designated state in the period before the second period (for example, the first period), or the user Ua at the time immediately before the second period. It may be the score of the designated state of the user Ua, or it may be the score of the designated state of the user Ua at the end of the second period predicted from the time-series transition of the score of the designated state of the user Ua. It may be a value obtained by subtracting a predetermined value from the value of.

If the determination result is affirmative (YES in STEP 706 of FIG. 30), in STEP 707 of FIG. 30, the output control unit is the main substance (No. 1) ingested in the tenth action in the same manner as in STEP 301 of FIG. 6 substances) are recognized.

In STEP708 of FIG. 30, the output control unit determines whether or not the fifth substance and the sixth substance are the same substance.

When the determination result is affirmative (YES in STEP 708 of FIG. 30), in STEP 709 of FIG. 30, the output control unit has the same as STEP 302 of FIG. 23, and the main substance to be ingested is the fifth substance (YES). Recognize the eleventh action, which is the seventh substance different from the sixth substance).

In STEP 710 of FIG. 30, the output control unit outputs information recommending the eleventh action to the display 31. In this case, the output control unit also has information that the same substance (fifth substance) is included as the main substance to be ingested in the ninth action and the tenth action, and is ingested in the eleventh action. It is preferable to output to the display 31 information that the main substance is different from the fifth substance.

In addition to or instead of this, the output control unit may output information recommending the maintenance of the same action as the seventh action from the display 31.

After STEP 710 in FIG. 30, the recommended processing of the alternative action ends.

If the determination result of STEP704 of FIG. 30, STEP706 of FIG. 30, or STEP708 of FIG. 30 is negative, the skin support application 35a ends the recommended processing of the alternative action.

[Q. Substitution or maintenance judgment processing]
With reference to FIGS. 31 to 32, another example of the detailed flow of the substitution or maintenance determination process will be described.

In STEP 801 of FIG. 31, the user data recognition unit recognizes the data of the user Ua in the designated period in the same manner as in STEP 101 of FIG.

In STEP 802 of FIG. 31, the target recognition unit recognizes the target score in the designated state of the user Ua via the communication with the skin support server 10.

In STEP 803 of FIG. 31, the action recognition unit recognizes the degree of approach or the degree of separation of the score of the user Ua in the designated state from the target score by each of the plurality of actions of the user Ua in the designated period. For example, the action recognition unit recognizes the amount of change in the score in the designated state related to the target score before and after the action as the degree of approach or separation from the target score. The score in the designated state related to the target score means, for example, a score related to the feeling of dryness when the target score is "feeling of dryness 5".

More specifically, when the fluctuation amount of the score in the designated state related to the target score before and after the action approaches the target score, the behavior recognition unit recognizes the amount as the degree of approach. Further, when the fluctuation amount of the score in the designated state related to the target score before and after the action deviates from the target score, the behavior recognition unit recognizes the amount as the degree of disengagement.

As a result, as shown in FIG. 32, the degree of approach or the degree of separation is recognized for each action in the designated period. In FIG. 32, the degree of approach is shown by a positive value, and the degree of separation is shown by a negative value.

In STEP 804 of FIG. 31, the priority recognition unit recognizes the priority of each action based on the degree of approach or the degree of separation of STEP 803 of FIG. The priority recognition unit raises the priority of the action continuously or intermittently as the degree of approach of the score in the designated state of the user Ua to the target score of the user Ua increases, and the score in the designated state of the user Ua becomes higher. It is recognized that the greater the degree of deviation from the target score of the user Ua, the lower the score continuously or intermittently.

The output control unit executes the processes of STEP805 to STEP809 of FIG. 31 for each of the actions in the designated period.

In STEP805 of FIG. 31, the output control unit determines whether or not the degree of separation of the target behavior is less than a predetermined first threshold value.

If the determination result is affirmative (YES in STEP 805 of FIG. 31), in STEP 806 of FIG. 31, the output control unit executes the same alternative action recommendation process as STEP 106 of FIG. The output control unit may select alternative actions in descending order of priority as described above.

When the determination result is negative (NO in STEP805 of FIG. 31), in STEP807 of FIG. 31, the output control unit determines whether or not the degree of approach of the target behavior is equal to or higher than a predetermined second threshold value.

When the determination result is affirmative (YES in STEP 807 of FIG. 31), in STEP 808 of FIG. 31, the output control unit outputs the same measure selection screen as STEP 108 of FIG. 19 to the display 31.

If the determination result is negative (NO in STEP 807 of FIG. 31), in STEP 808 of FIG. 31, the output control unit executes the same recommended process of maintaining the same or similar behavior as STEP 109 of FIG.

After processing STEP 806 of FIG. 31, STEP 808 of FIG. 31, or STEP 809 of FIG. 31, in STEP 810 of FIG. 31, the output control unit shall perform the steps 805 to STEP 809 of FIG. 31 for all actions of the user Ua during the specified period. Determine whether or not the process has been executed.

If the determination result is negative (NO in STEP 810 of FIG. 31), the output control unit executes the process of STEP 805 of FIG. 31 for the unprocessed action.

If the determination result is negative (YES in STEP 810 of FIG. 31), the skin support application 35a ends this process.

(Deformation mode)
In the above example, the CPU 35 that executes the skin support application 35a is the "user data recognition unit", "designated state determination unit", "output control unit", "preference recognition unit", "target recognition unit", and "behavior recognition unit". Although it functioned as a "priority recognition unit", instead of this, the skin support server 10 loaded with an appropriate program has a "user data recognition unit", a "designated state determination unit", a "preference recognition unit", a "target recognition unit", and a "target recognition unit". It may function as a part or all of the functions of the "action recognition unit" and "priority recognition unit" and a part of the "output control unit". In this case, the CPU 35 that executes the skin support application 35a recognizes the execution result via communication, and the "user data recognition unit", "designated state determination unit", "output control unit", "preference recognition unit", "target recognition unit", and " It can function as the rest of the "action recognition unit" and "priority recognition unit".

In the above example, the CPU 35 that executed the skin support application 35a received various necessary data by communicating with the skin support server 10, but in place of or in addition to this, the CPU 35 that executed the skin support application 35a. However, the process may be executed by referring to the data stored in the storage device of the user terminal 30.

Further, since the user terminal 30 has the function of the skin support server 10, the user terminal 30 may independently configure the information output system.

In the above example, the designated state has been described as the skin state, but in addition to or instead of this, one or both of the body state and the mental state may be treated as the designated state. Further, for each of the physical state and the mental state, the target score (subjective target score and objective target score) may be recognized by a method according to the physical state and the mental state.

1 ... Communication network, 10 ... Skin support server, 11 ... Skin condition recognition unit, 12 ... Measure group selection unit, 13 ... Measure information transmission unit, 19 ... Secondary data generation unit, 20 ... Support DB (database), 30 ( 30a, 30b, 30c) ... user terminal (smartphone), 31 ... display, 32 ... touch panel, 33 ... camera, 34 ... microphone, 35 ... CPU, 35
a ... skin support app, 36 ... memory, 40 ... connection terminal, 45 ... measuring device.

The information output system of the present invention is
An output section that outputs information and
A user data recognition unit that recognizes designated state data indicating at least one of the user's skin state, physical state, or mental state, and user behavior data indicating the user's behavior.
Based on the designated state data, a designated state determination unit that determines whether the user's designated state has improved or deteriorated in the designated period determined according to the user behavior data, and
When the designated state determination unit determines that the user's designated state has deteriorated, the output control unit outputs information included in the user behavior data that recommends stopping or interrupting the user's behavior to the output unit. It is characterized by having.

In addition, it is necessary to change the period for judging whether the influence on the designated state is good or bad according to the action taken by the user.
Therefore, in the present invention, the designated state determination unit determines whether the designated state of the user has improved or deteriorated in the designated period determined according to the user behavior data based on the designated state data. This improves the accuracy of the quality judgment of the behavior.

In the information output system of the present invention
The designated state determination unit is
Recognizing the predetermined length of the period from when the user takes the action until the effect of the action on the designated state begins to appear and the predetermined length of the period during which the effect continues.
Based on the designated state data in the period from the time when the user takes the action until the time when the effect of the action starts to appear on the designated state elapses until the period when the influence continues elapses. Therefore, it is preferable to determine whether the designated state of the user has improved or deteriorated.

Depending on the action, it is assumed that the timing at which the specified state is affected and the length of the period during which the effect continues are different.

According to the present invention, a predetermined length for each action, from the user taking an action to the start of the influence of the action on the designated state, and the predetermined period for which the influence continues are predetermined. Since the period for determining the effect on the specified state is changed according to the specified length, even if the timing at which the effect occurs on the specified state and the length of the period during which the effect continues differs depending on the action. , It is possible to accurately determine whether or not the action has an effect on the designated state.

Further, the information output system of the present invention is
An output section that outputs information and
A user data recognition unit that recognizes designated state data indicating at least one of the user's skin state, physical state, or mental state, and user behavior data indicating the user's behavior.
Based on the designated state data, a designated state determination unit that determines whether the user's designated state has improved or deteriorated during the designated period, and a designated state determination unit.
When the designated state determination unit determines that the user's designated state has deteriorated, the output control unit outputs information included in the user behavior data that recommends stopping or interrupting the user's behavior to the output unit. Equipped with
The designated state recognition unit is configured to calculate a value indicating the designated state from the designated state data by a predetermined method.
The designated state determination unit is
The average value of the values indicating the designated state in the predetermined period prior to the designated period is calculated.
It is characterized in that when the value indicating the designated state in the designated period is lower than the average value, it is determined that the designated state has deteriorated.

The condition of the user's skin, body, and mind may change from day to day. Therefore, it may not be possible to properly determine the influence of the action on the designated state only by comparing the designated state of a specific day before the action with the designated state after the action.

According to the present invention, the average value of the values indicating the designated state in the predetermined period prior to the designated period, not the designated state of the specific day before the action, is the value indicating the designated state in the designated period. As a comparison target with, it is determined whether or not the designated state has deteriorated, so even if the designated state fluctuates from day to day, the effect of the behavior on the designated state can be appropriately grasped, and the designated state has deteriorated. The accuracy of determining whether or not it is improved.

In the present invention
The designated state determination unit is
Information indicating the time-series transition of the designated state is acquired from the designated state data by a predetermined method, and the predicted value of the designated state at the end of the designated period is calculated from the information indicating the time-series transition. death,
When the value indicating the designated state in the designated period is lower than the predicted value, it is preferable to determine that the designated state has deteriorated.

The user's designated state may change from day to day or, for example, at regular intervals (1 week, 1 month, 1 year, etc.) without taking any action.

Therefore, simply comparing the designated state before the action with the designated state after the action shows whether the action affected the skin condition, physical condition, and mental state, depending on the day or periodically. It may not be possible to properly determine whether the effect is due to a change.

According to the present invention, the predicted value of the designated state at the end of the designated period is calculated from the information indicating the time-series transition of the designated state acquired from the designated state data, and the calculated predicted value is used for the designated period. Since it is determined whether or not the designated state has deteriorated as a comparison target with the value indicating the designated state in, it is appropriate to determine whether the designated state is affected by the action, or whether it is affected by daily or periodic changes. The possibility of being able to make a judgment is increased.

In the present invention
The user data recognition unit recognizes information on the degree of satisfaction of the user with respect to the designated state, and receives information on the degree of satisfaction of the user.
When the user's satisfaction with the designated state is not more than a predetermined value, the designated state determining unit preferably determines that the designated state has deteriorated.

Behaviors that do not give the user a sense of satisfaction are not very convincing to the user, so even if they are recommended, the user may not continue, and as a result, the effect of improving the skin condition or the like may not be obtained.

According to the present invention, when the degree of satisfaction with the condition of the skin or the like is less than or equal to a predetermined value, it is determined that the skin condition of the user has deteriorated, and the discontinuation or change is determined, so that the satisfaction from the user can be obtained. It is possible to positively urge the user to stop an action that is not performed, that is, an action that the user is not satisfied with.

Claims (14)

An output section that outputs information and
A user data recognition unit that recognizes designated state data indicating at least one of the user's skin state, physical state, or mental state, and user behavior data indicating the user's behavior.
Based on the designated state data, a designated state determination unit that determines whether the user's designated state has improved or deteriorated during the designated period, and a designated state determination unit.
When the designated state determination unit determines that the user's designated state has deteriorated, the output control unit outputs information included in the user behavior data for recommending the cancellation or interruption of the user's behavior to the output unit. An information output system characterized by being equipped with. In the information output system according to claim 1,
When the designated state determination unit determines that the user's designated state has improved, the output control unit outputs information included in the user behavior data that recommends maintenance of the user's behavior to the output unit. An information output system characterized by that. In the information output system according to claim 1 or 2.
When the designated state determination unit determines that the user's designated state has deteriorated, the output control unit may use the user's behavior data as information for recommending the cancellation or interruption of the user's behavior. An information output system characterized by outputting information that recommends an alternative action different from the action to the output unit. In the information output system according to claim 3,
When the designated state determination unit determines that the user's designated state has deteriorated, the output control unit is in the same category as the user's behavior category when the user's behavior is an activity of daily living. An information output system characterized in that it is configured to output information that recommends another action as the alternative action to the output unit. In the information output system according to claim 3 or 4.
It is equipped with a preference recognition unit that recognizes the user's preferences regarding the behavior category.
When the designated state determination unit determines that the user's designated state has deteriorated, the output control unit is the same as the user's behavior category in which the user's behavior category matches the user's preference. An information output system characterized in that it is configured to output information that recommends a different category of action as the alternative action to the output unit. In the information output system according to any one of claims 1 to 5,
The information output system, wherein the designated state includes a skin condition, and the designated period is a period from the day when the user takes an action to the next day. In the information output system according to any one of claims 1 to 6,
A target recognition unit that recognizes the target state for the user's specified state,
The designated state determination unit recognizes a plurality of actions of the user related to changes in the designated state of the user, and for each of the actions of the plurality of users, the target state of the user in the designated state of the user by the action is reached. An action recognition unit that recognizes the degree of approach of the user or the degree of separation of the user's designated state from the target state of the user.
The greater the degree of approach of the user's designated state to the target state of the user, the higher the degree of continuous or intermittent increase, and the greater the degree of separation of the user's designated state from the target state of the user, the more continuous. It is equipped with a priority recognition unit that recognizes the priority of each action so that it becomes low on target or intermittently.
The output control unit is an information output system characterized in that the output control unit is configured to output information for recommending cancellation or interruption of an action whose priority is less than a predetermined threshold value to the output unit. In the information output system according to any one of claims 1 to 7.
The behavior is eating and drinking,
When the designated state determination unit determines that the user's designated state has deteriorated, the output control unit is a first substance that is a main substance to be ingested in the user's first action included in the user behavior data. The output unit recognizes a substance, recognizes a second action in which the main substance ingested is a second substance different from the first substance, and recommends the second action as an alternative action to the first action. An information output system characterized by being configured to output to. In the information output system according to any one of claims 1 to 8,
The behavior is eating and drinking,
The output control unit is a main substance to be ingested in the third behavior, which is the behavior of the user, included in the user behavior data when the designated state determination unit determines that the designated state of the user has deteriorated. Recognizing a certain third substance, recognizing a fourth action in which the main substance to be ingested is the same as the third substance and the intake of the third substance is smaller than that of the third action, the fourth action Is an information output system characterized in that it is configured to output information recommended as an alternative action of the third action to the output unit. In the information output system according to any one of claims 1 to 9,
The behavior is eating and drinking,
The output control unit is a food or drink to be ingested in the fifth action, which is the action of the user, included in the user behavior data when the designated state determination unit determines that the designated state of the user has deteriorated. It recognizes the type of the first food and drink and one or both of the manufacturer and the product name of the first food and drink, the type is the same as the type of the first food and drink, and one or one of the manufacturer and the product name. The output unit recognizes the sixth action of ingesting the second food or drink, which is one or both of the different manufacturers and product names, and recommends the sixth action as an alternative action to the fifth action. An information output system characterized by being configured to output to. In the information output system according to any one of claims 1 to 10.
The behavior is eating and drinking,
The output control unit is a main substance ingested in the seventh action, which is the user's behavior, included in the user behavior data when the designated state determination unit determines that the user's designated state has improved. It is configured to recognize a certain fourth substance, the main substance ingested recognizes the same eighth action as the fourth substance, and outputs information recommending the implementation of the eighth action to the output unit. An information output system characterized by being ingested. In the information output system according to any one of claims 1 to 11.
The behavior is eating and drinking,
When the designated state determination unit determines that the user's designated state has deteriorated in the first period, the output control unit is ingested in the ninth action, which is the user's action included in the user behavior data. Recognize the fifth substance, which is the main substance
When it is determined by the designated state determination unit that the designated state of the user has deteriorated in a second period different from the first period, it is ingested in the tenth action which is the action of the user included in the user behavior data. Recognizing the sixth substance, which is the main substance to be ingested
When the fifth substance and the sixth substance are the same substance, it is recommended to carry out the eleventh action in which the main substance to be ingested is the seventh substance different from the fifth substance and the sixth substance. An information output system characterized in that it is configured to output the information to be output to the output unit. It is a method executed by a system equipped with an output unit that outputs information.
A step of recognizing designated state data indicating a designated state which is at least one of the user's skin state, body state, or mental state, and user behavior data indicating the user's behavior.
Based on the designated state data, a step of determining whether the user's designated state has improved or deteriorated during the specified period, and
When it is determined that the designated state of the user has deteriorated, the information including the step of outputting the information including the step of outputting the information recommending the cancellation or interruption of the user's action included in the user action data to the output unit. output method. For systems equipped with an output unit that outputs information
A step of recognizing designated state data indicating a designated state which is at least one of the user's skin state, body state, or mental state, and user behavior data indicating the user's behavior.
Based on the designated state data, a step of determining whether the user's designated state has improved or deteriorated during the specified period, and
When it is determined that the designated state of the user has deteriorated, the step of outputting the information including the user behavior data for recommending the cancellation or interruption of the user's behavior to the output unit is executed. Information output program.

Images